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Textual similarity measurement approaches : a survey
Other Title(s)
منهجيات قياس التشابه النصي : بحث استقصائي
Joint Authors
Abu Ghayt, Amirah Hamid
al-Zughbi, Aya Muhammad
Hamzah, Tahir
Source
The Egyptian Journal of Language Engineering
Issue
Vol. 7, Issue 2 (30 Sep. 2020), pp.41-62, 22 p.
Publisher
Egyptian Society of Language Engineering
Publication Date
2020-09-30
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Survey research is appropriate and necessary to address certain research question types.
This paper aims to provide a general overview of the textual similarity in the literature.
Measuring textual similarity tends to have an increasingly important turn in related topics like text classification, recovery of specific information from data, clustering, topic retrieval, subject tracking, question answering, essay grading, summarization, and the nowadays trending Conversational Agents (CA), which is a program deals with humans through natural language conversation.
Finding the similarity between terms is the essential portion of textual similarity, then used as a major phase for sentence-level, paragraph-level, and script-level similarities.
In particular, we concern with textual similarity in Arabic.
In the Arabic Language, applying Natural language Processing (NLP) tasks are very challenging indeed as it has many characteristics, which are considered as confrontations.
However, many approaches for measuring textual similarity have been presented for Arabic text reviewed and compared in this paper.
American Psychological Association (APA)
Abu Ghayt, Amirah Hamid& al-Zughbi, Aya Muhammad& Hamzah, Tahir. 2020. Textual similarity measurement approaches : a survey. The Egyptian Journal of Language Engineering،Vol. 7, no. 2, pp.41-62.
https://search.emarefa.net/detail/BIM-1012030
Modern Language Association (MLA)
Abu Ghayt, Amirah Hamid…[et al.]. Textual similarity measurement approaches : a survey. The Egyptian Journal of Language Engineering Vol. 7, no. 2 (Sep. 2020), pp.41-62.
https://search.emarefa.net/detail/BIM-1012030
American Medical Association (AMA)
Abu Ghayt, Amirah Hamid& al-Zughbi, Aya Muhammad& Hamzah, Tahir. Textual similarity measurement approaches : a survey. The Egyptian Journal of Language Engineering. 2020. Vol. 7, no. 2, pp.41-62.
https://search.emarefa.net/detail/BIM-1012030
Data Type
Journal Articles
Language
English
Notes
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Record ID
BIM-1012030